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128 articles for “signal detection”
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Performance Analysis of Space Shift Keying and Quadrature Space Shift Keying for MIMO Channels
Abstract: In wireless communication the propagation channel is characterized by multipath propagation due to scattering on different obstacles. MIMO takes advantage of multi-path and uses multiple antennas to send multiple parallel signals from transmitter. “Multi-path” occurs when different signals arrive at the receiver at various times. MIMO exploits the space dimension to improve wireless systems capacity, range and reliability. There are two different modulation techniques that exploits the best features of …
Published in Research & Reviews : Journal of Space Science & Technology Read article
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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Alopecia Areata: Complex Roots and Potential Cures
Abstract: Autoimmunity is when the healthy organs of an individual’s body are attacked by its own immune system, leading to illness or functional abnormalities. The hair follicles (HFs) are wrongly destroyed by the immune system in a condition known as Alopecia Areata and results in chronic non-cicatricial hair loss discernible by spherical patches. It’s a severely worsening or relapsing malady that can be permanent during severe falling out of hair. In …
Published in International Journal of Vaccines · Vol. 1, Issue 1, 2024 · pp. 41–54 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Long Non-Coding RNAs: Key Regulators of Gene Expression in Development and Disease
Abstract: Long non-coding RNAs (lncRNAs) are RNA molecules that do not make proteins but are essential for controlling how genes are turned on or off in the body. These molecules help with various biological functions, such as guiding cell growth, shaping development, and influencing the progression of diseases. Recent advancements in genomics and transcriptomics have revealed the vast and complex roles of lncRNAs, with an increasing recognition of their involvement in …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 1, 2025 · pp. 11–15 Read article
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Gold Nanoparticle Size, Biodistribution, and Toxicity: Insights from DualEnergy CT
Abstract: Dual-energy and spectral computed tomography (CT) have emerged as powerful platforms for noninvasive, quantitative mapping of nanoparticle biodistribution in vivo. By exploiting the energy-dependent attenuation profiles of high-atomic-number (high-Z) materials, these systems enable material decomposition and element-specific imaging, thereby distinguishing nanoparticle signals from those of soft tissues and conventional iodinated contrast agents. Photon-counting spectral CT further enhances this capability by binning individual photons into multiple energy channels, improving spatial resolution, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Symmetry Breaking in Mathematical Models: Bifurcation, Chaos, and Pattern Formation
Abstract: Symmetry breaking serves as a central organizing principle in the understanding of nonlinear systems across physics, biology, chemistry, and engineering. When a system transitions from a symmetric state to an asymmetric configuration, it often signals the onset of new structures, dynamic behaviors, or even chaotic regimes. This review explores symmetry breaking from the theoretical and mathematical perspectives of bifurcation theory, chaos theory, and pattern formation. We discuss how small parameter …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 25–30 Read article
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Comprehensive Analysis of MRSA Peptides Via Maldi
Abstract: The present study employed Matrix-Assisted Laser Desorption/Ionization Time-of-Flight mass spectrometry to analyze methicillin-resistant Staphylococcus aureus peptides, focusing on various parameters associated with mass-to-charge (m/z) values. Through systematic data collection and analysis, including time, intensity, signal-to-noise ratios, quality factors, resolutions, areas under the peaks, relative intensities, full widths at half maximum, Chi-squared values, and background peaks, comprehensive insights into the spectral characteristics of methicillin-resistant Staphylococcus aureus peptides were obtained. Methicillin-resistant Staphylococcus …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 98–101 Read article